Title :
Prediction of fingerprint orientation
Author :
Jun, Li ; Yun, Yau Wei
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
This work presents an algorithm to predict fingerprint orientation. The algorithm consists of two models: coarse prediction model and polynomial model. The coarse prediction model, which is based on first order phase portrait, is proposed to estimate the orientation in areas where there is no ridge information in the input image. Polynomial model is used to refine the fingerprint orientation predicted by the coarse model. Experimental results show the effectiveness of the proposed algorithm.
Keywords :
fingerprint identification; polynomial approximation; prediction theory; coarse prediction model; fingerprint orientation prediction; first order phase portrait; polynomial model; Error correction; Fingerprint recognition; Image matching; Image recognition; Image reconstruction; Phase estimation; Poles and zeros; Polynomials; Prediction algorithms; Predictive models;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333796
